Simulasi Sistem Dinamis untuk Optimalisasi Produktivitas Pertanian melalui Perbaikan Pengelolaan Pupuk dan Benih Desa Tampingmojo. (Dynamic System Simulation for Optimization of Agricultural Productivity through Improvement of Fertilizer and Seed Management in Tampingmojo Village).

Septyawati, Reznandya Putri (2025) Simulasi Sistem Dinamis untuk Optimalisasi Produktivitas Pertanian melalui Perbaikan Pengelolaan Pupuk dan Benih Desa Tampingmojo. (Dynamic System Simulation for Optimization of Agricultural Productivity through Improvement of Fertilizer and Seed Management in Tampingmojo Village). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

Tampingmojo Village, located in Tembelang Subdistrict, Jombang Regency, covers 2.38 km² with 141 hectares of rice fields, where 68.82% of residents work as farmers. This study aims to identify factors affecting productivity and develop optimal scenarios using a dynamic systems approach to enhance farmer productivity and profits. SEM-PLS analysis reveals that fertilizers and seeds are the most influential factors under the “planet” variable, while age and education level dominate the “people” variable. These findings inform scenario development for rice and corn cultivation. The optimal rice scenario involves applying 317.6 kg/ha of urea, 231.7 kg/ha of phonska, and 10 L/ha of livestock urine POC with Inpari and Ciherang varieties. For corn, the best scenario utilizes urea and phonska at optimal doses, combined with 2,000 kg/ha of chicken manure, planted with Bisi and Pioneer varieties. Simulation results indicate rice productivity increases by 18.10% (Inpari, MT 1) and 19.95% (Ciherang, MT 2), while corn rises by up to 21.94% (Pioneer, MT 2 and 3). Additionally, total profit improves by 78.72% for rice (Inpari, MT 1 and 2) and 63.73% for corn (Bisi, MT 2 and 3) compared to existing conditions. Recommended risk mitigation strategies include creating visual fertilizer dosage guides, engaging farmer groups in distribution, conducting preference surveys, and providing training on application timing and rates. These results are expected to guide adaptive agricultural policies aligned with local characteristics to support sustainable productivity and profitability in Tampingmojo Village.

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